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Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada

Description: Change detection is amongst the most effective critical examination methods used in remote sensing technology. In this research, new methods are proposed for building and vegetation change detection using only LiDAR data without using any other remotely sensed data. Two LiDAR datasets from 2009 and 2013 will be used in this research. These datasets are provided by the City of Surrey. A Parcel map which shows parcels in the study area will be also used in this research because the objective of this research is detecting changes based on parcels. Different methods are applied to detect changes in buildings and vegetation respectively. Three attributes of object –slope, building volume, and building height are derived and used in this study. Changes in buildings are not only detected but also categorized based on their attributes. In addition, vegetation change detection is performed based on parcels. The output shows parcels with a change of vegetation. Accuracy assessment is done by using measures of completeness, correctness, and quality of extracted regions. Accuracy assessments suggest that building change detection is performed with better results.
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Date: December 2016
Creator: Yigit, Aykut
Partner: UNT Libraries

Final Technical Report on Radioxenon Event Analysis

Description: This is a final deliverable report for the Advanced Spectral Analysis for Radioxenon project with a focus on radioxenon event categorization.
Date: March 15, 2013
Creator: Ely, James H.; Cooper, Matthew W.; Hayes, James C.; Heimbigner, Tom R.; McIntyre, Justin I. & Schrom, Brian T.
Partner: UNT Libraries Government Documents Department

In situ spectroscopic detection of SMSI effect in a Ni/CeO2 system: hydrogen-induced burial and dig out of metallic nickel

Description: In situ APPES technique demonstrates that the strong metal support interaction effect (SMSI) in the Ni-ceria system is associated with the decoration and burial of metallic particles by the partially reduced support, a phenomenon reversible by evacuation at high temperature of the previously absorbed hydrogen.
Date: June 29, 2010
Creator: Caballero, Alfonso; Holgado, Juan P.; Gonzalez-delaCruz, Victor M.; Habas, Susan e.; Herranz, Tirma & Salmeron, Miquel
Partner: UNT Libraries Government Documents Department

Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)

Description: Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.
Date: May 1, 2008
Creator: Verba, Jared & Milvich, Michael
Partner: UNT Libraries Government Documents Department

Flight Instrument for Measurement of Liquid-Water Content in Clouds at Temperatures Above and Below Freezing

Description: "A principle formerly used in an instrument for cloud detection was further investigated to provide a simple and rapid means for measuring the liquid-water content of clouds at temperatures above and below freezing. The instrument consists of a small cylindrical element so operated at high surface temperatures that the impingement of cloud droplets creates a significant drop in the surface temperature. The instrument is sensitive to a wide range of liquid-water content and was calibrated at one set of fixed conditions against rotating multicylinder measurements. The limited conditions of the calibration Included an air temperature of 20 F, an air velocity of 175 miles per hour, and a surface temperature in clear air of 475 F" (p. 1).
Date: March 6, 1951
Creator: Perkins, Porter J.
Partner: UNT Libraries Government Documents Department

Rotogenerative Detection of Corrosion Currents

Description: Note presenting a new technique for studying corrosion phenomena. The method permits the detection of the presence of currents produced by local cells on the surface of a corroding metal specimen. The method can be applied to the study of stress corrosion; in this case a hollow specimen if subjected to sufficient hydraulic pressure to produce the desired stress level.
Date: November 1951
Creator: McAndrew, Joseph B.; Colner, William H. & Francis, Howard T.
Partner: UNT Libraries Government Documents Department

Summary tables of six commercially available entry control and contraband detection technologies.

Description: Existing contraband detection and entry control devices such as metal detectors, X-ray machines, and radiation monitors were investigated for their capability to operate in an automated environment. In addition, a limited number of new devices for detection of explosives, chemicals, and biological agents were investigated for their feasibility for inclusion in future physical security systems. The tables in this document resulted from this investigation, which was part of a conceptual design upgrade for the United States Mints. This summary of commercially available technologies was written to provide a reference for physical security upgrades at other sites.
Date: July 1, 2005
Creator: Hunter, John Anthony
Partner: UNT Libraries Government Documents Department

Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy

Description: This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.
Date: September 19, 2007
Creator: Sheen, David M. & Aker, Pam M.
Partner: UNT Libraries Government Documents Department

Neutron Detection with Cryogenics and Semiconductors

Description: The common methods of neutron detection are reviewed with special attention paid to the application of cryogenics and semiconductors to the problem. The authors' work with LiF- and boron-based cryogenic instruments is described as well as the use of CdTe and HgI{sub 2} for direct detection of neutrons.
Date: March 10, 2005
Creator: Bell, Z. W.; Carpenter, D. A.; Cristy, S. S. & Lamberti, V. E.
Partner: UNT Libraries Government Documents Department

Accurate Joint Detection from Depth Videos towards Pose Analysis

Description: Joint detection is vital for characterizing human pose and serves as a foundation for a wide range of computer vision applications such as physical training, health care, entertainment. This dissertation proposed two methods to detect joints in the human body for pose analysis. The first method detects joints by combining body model and automatic feature points detection together. The human body model maps the detected extreme points to the corresponding body parts of the model and detects the position of implicit joints. The dominant joints are detected after implicit joints and extreme points are located by a shortest path based methods. The main contribution of this work is a hybrid framework to detect joints on the human body to achieve robustness to different body shapes or proportions, pose variations and occlusions. Another contribution of this work is the idea of using geodesic features of the human body to build a model for guiding the human pose detection and estimation. The second proposed method detects joints by segmenting human body into parts first and then detect joints by making the detection algorithm focusing on each limb. The advantage of applying body part segmentation first is that the body segmentation method narrows down the searching area for each joint so that the joint detection method can provide more stable and accurate results.
Date: May 2018
Creator: Kong, Longbo
Partner: UNT Libraries